Triple

T20846345
Position Surface form Disambiguated ID Type / Status
Subject Ajka District E513234 entity
Predicate containsSettlement P847 FINISHED
Object Veszprémgalsa
Veszprémgalsa is a small village in Veszprém County, Hungary, known for its rural setting within the Bakony region.
E1478233 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Veszprémgalsa | Statement: [Ajka District, containsSettlement, Veszprémgalsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veszprémgalsa
Context triple: [Ajka District, containsSettlement, Veszprémgalsa]
  • A. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • B. Vasvár
    Vasvár is a small historic town in western Hungary known for its medieval heritage and role as a former county seat.
  • C. Nagyvázsony
    Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
  • D. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • E. Mátészalka
    Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Veszprémgalsa
Triple: [Ajka District, containsSettlement, Veszprémgalsa]
Generated description
Veszprémgalsa is a small village in Veszprém County, Hungary, known for its rural setting within the Bakony region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veszprémgalsa
Target entity description: Veszprémgalsa is a small village in Veszprém County, Hungary, known for its rural setting within the Bakony region.
  • A. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • B. Vasvár
    Vasvár is a small historic town in western Hungary known for its medieval heritage and role as a former county seat.
  • C. Nagyvázsony
    Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
  • D. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • E. Mátészalka
    Mátészalka is a town in northeastern Hungary known as a local administrative and economic center within the Northern Great Plain region.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34ffb588190881953a0480b29a8 completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5a2d128819081763172f6214e27 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a63fb6988190922458ad9e7b8a3a completed May 17, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_6a09a696eabc8190936063b841039053 completed May 17, 2026, 11:29 a.m.
Created at: April 16, 2026, 12:43 p.m.